Computer Technology For Setting And Presenting An Itinerary For A Traveler

Patent metadata

Field	Value
Publication number	US-2023306317-A1
Application number	US-202217656755-A
Country	US
Kind code	A1
Filing date	Mar 28, 2022
Priority date	Mar 28, 2022
Publication date	Sep 28, 2023
Grant date	—

Abstract

Computer technology for leveraging crowd sourced data to create an experience scoring based itinerary that outputs an itinerary of POI's (points of interest) based on relevancy to the person's interest, scoring experience, weather conditions and other factors relevant to setting the destinations, order and/or scheduling of the traveler's itinerary (for example, a daily schedule for a family on holiday). Also, computer technology for filtration of a set of images unique to a person's profile and taste and stitching these images to suggest a personalized route specific to that person's understanding.

First claim

1 . A computer-implemented method (CIM) comprising:
receiving a crowd sourced point of interest POI data set including information indicative of: (i) identifying information for a plurality of POIs, (ii) for each POI of the plurality of POIs: (a) location, and (b) a plurality of user review scores, and (iii) for each user review score, user review score context information including at least weather context information indicating the weather when a reviewer visited the POI; receiving a traveler/trip data set including at least information indicative of a geographic area and data and time information for a trip by a traveler; determining, by machine logic, a weight factor for each user review score of the plurality of user review scores of the crowdsourced POI data set, with the determination being based, at least in part on the traveler/trip data set and the user review score context information; determining, by machine logic, a plurality of selected POIs for an itinerary for planned travel of the traveler based, at least in part on: (i) the traveler/trip data set, and (ii) a plurality of weighted user review scores for the plurality of POIs; receiving first user input from the traveler; and responsive to the receipt of the first user input, replacing a first selected POI of the plurality of selected POIs in the itinerary with a first POI of the plurality of POIs.

2 . The CIM of claim 1 further comprising:
determining a route for the traveler among and between the plurality of selected POIs of the itinerary.

3 . The CIM of claim 1 further comprising:
stitching together a plurality of photographs and/or videos, including images of the selected POIs of the plurality of POIs to form a slideshow for presentation to the traveler.

4 . The CIM of claim 1 wherein the user review score context information further includes traveler group context information.

5 . The CIM of claim 1 wherein each weight factor is equal to one of the following values: zero or one.

6 . The CIM of claim 1 wherein:
the traveler is a plurality of individuals planning to travel together; and
the determination of the itinerary for planned travel of the traveler based includes separating the traveler into at least two portions, with each portion including at least one individual, and with each portion of the traveler going to different locations as part of the itinerary.

7 . A computer program product (CPP) comprising:
a set of storage device(s); and computer code stored collectively in the set of storage device(s), with the computer code including data and instructions to cause a processor(s) set to perform at least the following operations:
receiving a crowd sourced point of interest POI data set including information indicative of: (i) identifying information for a plurality of POIs, (ii) for each POI of the plurality of POIs: (a) location, and (b) a plurality of user review scores, and (iii) for each user review score, user review score context information including at least weather context information indicating the weather when a reviewer visited the POI,
receiving a traveler/trip data set including at least information indicative of a geographic area and data and time information for a trip by a traveler,
determining, by machine logic, a weight factor for each user review score of the plurality of user review scores of the crowdsourced POI data set, with the determination being based, at least in part on the traveler/trip data set and the user review score context information,
determining, by machine logic, a plurality of selected POIs for an itinerary for planned travel of the traveler based, at least in part on: (i) the traveler/trip data set, and (ii) a plurality of weighted user review scores for the plurality of POIs,
receiving first user input from the traveler, and
responsive to the receipt of the first user input, replacing a first selected POI of the plurality of selected POIs in the itinerary with a first POI of the plurality of POIs.

8 . The CPP of claim 7 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation(s):
determining a route for the traveler among and between the plurality of selected POIs of the itinerary.

9 . The CPP of claim 7 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation(s):
stitching together a plurality of photographs and/or videos, including images of the selected POIs of the plurality of POIs to form a slideshow for presentation to the traveler.

10 . The CPP of claim 7 wherein the user review score context information further includes traveler group context information.

11 . The CPP of claim 7 wherein each weight factor is equal to one of the following values: zero or one.

12 . The CPP of claim 7 wherein:
the traveler is a plurality of individuals planning to travel together; and
the determination of the itinerary for planned travel of the traveler based includes separating the traveler into at least two portions, with each portion including at least one individual, and with each portion of the traveler going to different locations as part of the itinerary.

13 . A computer system (CS) comprising:
a processor(s) set; a set of storage device(s); and computer code stored collectively in the set of storage device(s), with the computer code including data and instructions to cause the processor(s) set to perform at least the following operations:
receiving a crowd sourced point of interest POI data set including information indicative of: (i) identifying information for a plurality of POIs, (ii) for each POI of the plurality of POIs: (a) location, and (b) a plurality of user review scores, and (iii) for each user review score, user review score context information including at least weather context information indicating the weather when a reviewer visited the POI,
receiving a traveler/trip data set including at least information indicative of a geographic area and data and time information for a trip by a traveler,
determining, by machine logic, a weight factor for each user review score of the plurality of user review scores of the crowdsourced POI data set, with the determination being based, at least in part on the traveler/trip data set and the user review score context information,
determining, by machine logic, a plurality of selected POIs for an itinerary for planned travel of the traveler based, at least in part on: (i) the traveler/trip data set, and (ii) a plurality of weighted user review scores for the plurality of POIs,
receiving first user input from the traveler, and
responsive to the receipt of the first user input, replacing a first selected POI of the plurality of selected POIs in the itinerary with a first POI of the plurality of POIs.

14 . The CS of claim 13 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation(s):
determining a route for the traveler among and between the plurality of selected POIs of the itinerary.

15 . The CS of claim 13 wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation(s):
stitching together a plurality of photographs and/or videos, including images of the selected POIs of the plurality of POIs to form a slideshow for presentation to the traveler.

16 . The CS of claim 13 wherein the user review score context information further includes traveler group context information.

17 . The

Assignees

• IBM

Inventors

• Karri Venkata Vara Prasad
• Khan I Afroz
• Sivaswamy Hemant Kumar
• Suto Tiberiu

Classifications

• G06Q10/025 Primary

  Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation · CPC title

• G01C21/3679

  Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities (G01C21/3611 takes precedence) · CPC title

• G01C21/343

  Calculating itineraries (travelling salesman problem G06Q10/04; optimisation of routes G06Q10/047) · CPC title

• G06F16/24578

  using ranking · CPC title

• G06F16/435

  Filtering based on additional data, e.g. user or group profiles · CPC title